Software Development Engineer, IDEAS

Amazon Web Services has been the global leader in cloud computing since 2006 providing a robust platform that powers hundreds of thousands of businesses in over 190 countries.

Developers all over the world rely on our storage compute and virtualized services. The SalesMarketing and Global Services Operations - Atlas teams success depends on delivering trusted extensible and high-quality intelligence that empowers our go-to-market (GTM) teams and enhances customer engagement at scale. The Atlas team builds and operates the foundational customer intelligence that powers AWS Sales field. Atlas integrates external firmographic data with internal AWS datasets to create a unified scalable view of customers and accounts. This intelligence layer is critical to enabling the Field organization with accurate insights improved account targeting and better customer engagement at scale.


Were looking for a Software Development Engineer to design and deliver solutions that combine machine learning distributed big data technologies and web application/service development. Were building solutions to achieve amazing feats with data to enable us to arm our field teams with the actionable intelligence needed to engage and serve every possible AWS customer in the world to the fullest.

Key job responsibilities
- Design develop and maintain scalable data ingestion solutions to solve complex and ambiguous data challenges for large-scale datasets
- Build highly available secure distributed systems in microservices container and distributed cluster-compute architectures with comprehensive data validation frameworks
- Develop serverless applications using AWS Lambda S3 CloudWatch and Glue services while implementing infrastructure as code through AWS CDK for automated deployment and monitoring
- Apply Machine Learning to solve challenging data problems at scale
- Work with AWS technologies such as Glue EMR S3 DynamoDB Redshift ElasticSearch Lambda SQS SNS API Gateway and more
- Apply software development best practices in terms of quality and security
- Utilize object-oriented software design to build scalable maintainable systems
- Contribute to planning design implementation testing operations and process improvement as a member of a Scrum team
- Design data systems optimized for machine learning workflows including feature stores model training pipelines and real-time inference capabilities
- Partner with applied scientists and ML engineers to build robust data foundations for RAG systems recommendation engines and predictive models
- Play an instrumental role in defining system architecture own and implement specific components and help shape the overall user experience for a data-focused product

A day in the life
The IDEAS (Insights Data Engineering Econometrics Analytics & Science) organization empowers the business with the data science infrastructure and insights needed to make informed decisions. We deliver foundational data sets that drive business planning and execution econometric and data-science models and core analytics to run our operations. Our team also builds and maintains robust data infrastructure and governance frameworks along with intelligent conversational agents that give business users an intuitive way to explore business health and key metrics.

About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

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Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- 1 years of software development engineer or related occupational experience
- 1 years of Object Oriented Design experience
- Bachelors degree or foreign equivalent in Computer Science Engineering Mathematics or a related field

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution
- Experience programming in Java C Python or related language
- Knowledge of building agents using agent builder frameworks such as AWS Strands

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 143700.00 - 194400.00 USD annually